Nina Antoniotti

23 total papers · 1.1k total citations
7 papers, 179 citations indexed

About

Nina Antoniotti is a scholar working on Public Health, Environmental and Occupational Health, Nephrology and General Health Professions. According to data from OpenAlex, Nina Antoniotti has authored 7 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 1 paper in Nephrology and 1 paper in General Health Professions. Recurrent topics in Nina Antoniotti's work include Telemedicine and Telehealth Implementation (2 papers), Cerebral Palsy and Movement Disorders (1 paper) and Innovative Approaches in Technology and Social Development (1 paper). Nina Antoniotti is often cited by papers focused on Telemedicine and Telehealth Implementation (2 papers), Cerebral Palsy and Movement Disorders (1 paper) and Innovative Approaches in Technology and Social Development (1 paper). Nina Antoniotti collaborates with scholars based in United States. Nina Antoniotti's co-authors include Andrew C. Urquhart, Richard L. Berg, Kenneth P. Drude, Lyn S. Turkstra, Elizabeth A. Krupinski, Jordana Bernard, Charles E. Noon, Denise Dion, Curtis L. Lowery and Dale C. Alverson and has published in prestigious journals such as The Laryngoscope, Journal of Head Trauma Rehabilitation and Telemedicine Journal and e-Health.

In The Last Decade

Nina Antoniotti

7 papers receiving 169 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nina Antoniotti	110	65	30	26	21	7	179
Georgina Chelberg	165 1.5×	146 2.2×	40 1.3×	32 1.2×	6 0.3×	7	274
Rosemarie Filart	83 0.8×	61 0.9×	10 0.3×	12 0.5×	12 0.6×	9	159
Garen Corbett	163 1.5×	110 1.7×	41 1.4×	22 0.8×	5 0.2×	5	258
Margaret Fix	163 1.5×	121 1.9×	44 1.5×	24 0.9×	5 0.2×	11	262
Arabella Clarke	54 0.5×	59 0.9×	18 0.6×	18 0.7×	12 0.6×	7	277
Lulu Lee	125 1.1×	105 1.6×	73 2.4×	16 0.6×	13 0.6×	15	284
Gratianne Vaisson	67 0.6×	152 2.3×	17 0.6×	10 0.4×	17 0.8×	8	243
Holly B. Bradley	33 0.3×	83 1.3×	96 3.2×	15 0.6×	26 1.2×	13	251
Emilio La Rosa	48 0.4×	96 1.5×	17 0.6×	6 0.2×	18 0.9×	7	276
Vineta Bhalla	55 0.5×	88 1.4×	33 1.1×	22 0.8×	10 0.5×	7	251

Countries citing papers authored by Nina Antoniotti

Since Specialization

Citations

This map shows the geographic impact of Nina Antoniotti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nina Antoniotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Antoniotti more than expected).

Fields of papers citing papers by Nina Antoniotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Antoniotti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nina Antoniotti. The network helps show where Nina Antoniotti may publish in the future.

Co-authorship network of co-authors of Nina Antoniotti

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Antoniotti. A scholar is included among the top collaborators of Nina Antoniotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Antoniotti. Nina Antoniotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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